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首页> 外文期刊>Oriental Journal of Computer Science and Technology >Study and Analysis of Multilingual Hand Written Characters Recognition Using SVM Classifier
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Study and Analysis of Multilingual Hand Written Characters Recognition Using SVM Classifier

机译:基于SVM分类器的多语言手写字符识别研究与分析。

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Day by day the researchers are trying to make such characters recognition system that can be able to detect the writing and languages of individuals, for this multilingual handwritten characters recognition is such system that playing a vital role for recognizing the characters written in different languages and in different styles. The research work presented in this thesis aims to do the study and analysis to recognize the multilingual handwritten characters with a high level of accuracy and for this purpose the classifier that we are using is support vector machine. Here in this work we have used the languages like Hindi and English and along with this we have taken special characters and numerals and tried to recognize them with our system.
机译:研究人员每天都在努力开发一种能够识别个人文字和语言的字符识别系统,因为这种多语言手写字符识别系统对于识别以不同语言和不同语言书写的字符起着至关重要的作用。不同的风格。本文的研究工作旨在进行研究和分析,以高精度地识别多语言手写字符,为此,我们使用的分类器是支持向量机。在本文中,我们使用了印地语和英语等语言,并同时使用了特殊的字符和数字,并试图通过我们的系统识别它们。

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